Template-matching approach to edge detection of volume data

Lisheng Wang; Tien Tsin Wong; Pheng Ann Heng; J. C.Y. Cheng

doi:10.1109/MIAR.2001.930305

Template-matching approach to edge detection of volume data

Lisheng Wang, Tien Tsin Wong, Pheng Ann Heng, J. C.Y. Cheng

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

11 Citations (Scopus)

Abstract

This paper proposes a template-matching approach to the edge detection of volume data. Twenty-six templates of an ideal step-like edge in the 3x3x3 neighborhood of volume data are given, and the step-like edge of volume data is detected by matching such patterns in various orientations. The approach is a simple and straightforward one for edge detection of volume data. It generalizes the well-known Kirsch operator for 2D images. It can detect change of intensity in every direction, and has the property of rotation invariance in 18-neighborhood. Implementation of proposed approach is given for biological and medical volume data, including MRI and CT volume data.

Original language	English
Title of host publication	Proceedings - International Workshop on Medical Imaging and Augmented Reality, MIAR 2001
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	286-291
Number of pages	6
ISBN (Electronic)	0769511139, 9780769511139
DOIs	https://doi.org/10.1109/MIAR.2001.930305
Publication status	Published - 2002
Externally published	Yes
Event	International Workshop on Medical Imaging and Augmented Reality 2001 - Shatin, N.T., Hong Kong Duration: 10 Jun 2001 → 12 Jun 2001 https://ieeexplore.ieee.org/xpl/conhome/7405/proceeding (Proceedings)

Conference

Conference	International Workshop on Medical Imaging and Augmented Reality 2001
Abbreviated title	MIAR 2001
Country/Territory	Hong Kong
City	Shatin, N.T.
Period	10/06/01 → 12/06/01
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7405/proceeding (Proceedings)

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10.1109/MIAR.2001.930305

Cite this

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title = "Template-matching approach to edge detection of volume data",

abstract = "This paper proposes a template-matching approach to the edge detection of volume data. Twenty-six templates of an ideal step-like edge in the 3x3x3 neighborhood of volume data are given, and the step-like edge of volume data is detected by matching such patterns in various orientations. The approach is a simple and straightforward one for edge detection of volume data. It generalizes the well-known Kirsch operator for 2D images. It can detect change of intensity in every direction, and has the property of rotation invariance in 18-neighborhood. Implementation of proposed approach is given for biological and medical volume data, including MRI and CT volume data.",

author = "Lisheng Wang and Wong, {Tien Tsin} and Heng, {Pheng Ann} and Cheng, {J. C.Y.}",

note = "Publisher Copyright: {\textcopyright} 2001 IEEE.; International Workshop on Medical Imaging and Augmented Reality 2001, MIAR 2001 ; Conference date: 10-06-2001 Through 12-06-2001",

year = "2002",

doi = "10.1109/MIAR.2001.930305",

language = "English",

pages = "286--291",

booktitle = "Proceedings - International Workshop on Medical Imaging and Augmented Reality, MIAR 2001",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/7405/proceeding",

}

Wang, L, Wong, TT, Heng, PA & Cheng, JCY 2002, Template-matching approach to edge detection of volume data. in Proceedings - International Workshop on Medical Imaging and Augmented Reality, MIAR 2001., 930305, IEEE, Institute of Electrical and Electronics Engineers, pp. 286-291, International Workshop on Medical Imaging and Augmented Reality 2001, Shatin, N.T., Hong Kong, 10/06/01. https://doi.org/10.1109/MIAR.2001.930305

Template-matching approach to edge detection of volume data. / Wang, Lisheng; Wong, Tien Tsin; Heng, Pheng Ann et al.
Proceedings - International Workshop on Medical Imaging and Augmented Reality, MIAR 2001. IEEE, Institute of Electrical and Electronics Engineers, 2002. p. 286-291 930305.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Template-matching approach to edge detection of volume data

AU - Wang, Lisheng

AU - Wong, Tien Tsin

AU - Heng, Pheng Ann

AU - Cheng, J. C.Y.

PY - 2002

Y1 - 2002

N2 - This paper proposes a template-matching approach to the edge detection of volume data. Twenty-six templates of an ideal step-like edge in the 3x3x3 neighborhood of volume data are given, and the step-like edge of volume data is detected by matching such patterns in various orientations. The approach is a simple and straightforward one for edge detection of volume data. It generalizes the well-known Kirsch operator for 2D images. It can detect change of intensity in every direction, and has the property of rotation invariance in 18-neighborhood. Implementation of proposed approach is given for biological and medical volume data, including MRI and CT volume data.

AB - This paper proposes a template-matching approach to the edge detection of volume data. Twenty-six templates of an ideal step-like edge in the 3x3x3 neighborhood of volume data are given, and the step-like edge of volume data is detected by matching such patterns in various orientations. The approach is a simple and straightforward one for edge detection of volume data. It generalizes the well-known Kirsch operator for 2D images. It can detect change of intensity in every direction, and has the property of rotation invariance in 18-neighborhood. Implementation of proposed approach is given for biological and medical volume data, including MRI and CT volume data.

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BT - Proceedings - International Workshop on Medical Imaging and Augmented Reality, MIAR 2001

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - International Workshop on Medical Imaging and Augmented Reality 2001

Y2 - 10 June 2001 through 12 June 2001

ER -

Template-matching approach to edge detection of volume data

Abstract

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